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Fairness and Accountability Design Needs for Algorithmic Support in
  High-Stakes Public Sector Decision-Making

Fairness and Accountability Design Needs for Algorithmic Support in High-Stakes Public Sector Decision-Making

3 February 2018
Michael Veale
Max Van Kleek
Reuben Binns
ArXiv (abs)PDFHTML

Papers citing "Fairness and Accountability Design Needs for Algorithmic Support in High-Stakes Public Sector Decision-Making"

50 / 103 papers shown
Title
Generalized Venn and Venn-Abers Calibration with Applications in Conformal Prediction
Generalized Venn and Venn-Abers Calibration with Applications in Conformal Prediction
L. Laan
Ahmed Alaa
221
1
0
01 Jul 2025
Can we Debias Social Stereotypes in AI-Generated Images? Examining Text-to-Image Outputs and User Perceptions
Can we Debias Social Stereotypes in AI-Generated Images? Examining Text-to-Image Outputs and User Perceptions
Saharsh Barve
Andy Mao
Jiayue Melissa Shi
Prerna Juneja
Koustuv Saha
30
0
0
27 May 2025
Fairness Practices in Industry: A Case Study in Machine Learning Teams Building Recommender Systems
Fairness Practices in Industry: A Case Study in Machine Learning Teams Building Recommender Systems
Jing Nathan Yan
Junxiong Wang
Jeffrey M. Rzeszotarski
Allison Koenecke
FaML
84
0
0
26 May 2025
AI LEGO: Scaffolding Cross-Functional Collaboration in Industrial Responsible AI Practices during Early Design Stages
AI LEGO: Scaffolding Cross-Functional Collaboration in Industrial Responsible AI Practices during Early Design Stages
Muzhe Wu
Yanzhi Zhao
Shuyi Han
Michael Xieyang Liu
Hong Shen
148
1
0
15 May 2025
Justified Evidence Collection for Argument-based AI Fairness Assurance
Justified Evidence Collection for Argument-based AI Fairness Assurance
Alpay Sabuncuoglu
Christopher Burr
Carsten Maple
65
0
0
12 May 2025
ML-Driven Approaches to Combat Medicare Fraud: Advances in Class Imbalance Solutions, Feature Engineering, Adaptive Learning, and Business Impact
ML-Driven Approaches to Combat Medicare Fraud: Advances in Class Imbalance Solutions, Feature Engineering, Adaptive Learning, and Business Impact
Dorsa Farahmandazad
Kasra Danesh
61
0
0
21 Feb 2025
Auditing a Dutch Public Sector Risk Profiling Algorithm Using an Unsupervised Bias Detection Tool
Auditing a Dutch Public Sector Risk Profiling Algorithm Using an Unsupervised Bias Detection Tool
Floris Holstege
Mackenzie Jorgensen
Kirtan Padh
Jurriaan Parie
Joel Persson
Krsto Prorokovic
Lukas Snoek
128
0
0
03 Feb 2025
The Dark Side of AI Companionship: A Taxonomy of Harmful Algorithmic
  Behaviors in Human-AI Relationships
The Dark Side of AI Companionship: A Taxonomy of Harmful Algorithmic Behaviors in Human-AI Relationships
Renwen Zhang
Han Li
Han Meng
Jinyuan Zhan
Hongyuan Gan
Yi-Chieh Lee
68
0
0
26 Oct 2024
Perceptions of Discriminatory Decisions of Artificial Intelligence:
  Unpacking the Role of Individual Characteristics
Perceptions of Discriminatory Decisions of Artificial Intelligence: Unpacking the Role of Individual Characteristics
Soojong Kim
32
2
0
17 Oct 2024
Beyond Algorithmic Fairness: A Guide to Develop and Deploy Ethical
  AI-Enabled Decision-Support Tools
Beyond Algorithmic Fairness: A Guide to Develop and Deploy Ethical AI-Enabled Decision-Support Tools
Rosemarie Santa Gonzalez
Ryan Piansky
Sue M Bae
Justin B. Biddle
Daniel K. Molzahn
55
0
0
17 Sep 2024
Minimum Viable Ethics: From Institutionalizing Industry AI Governance to
  Product Impact
Minimum Viable Ethics: From Institutionalizing Industry AI Governance to Product Impact
Archana Ahlawat
Amy Winecoff
Jonathan Mayer
85
1
0
11 Sep 2024
Articulation Work and Tinkering for Fairness in Machine Learning
Articulation Work and Tinkering for Fairness in Machine Learning
Miriam Fahimi
Mayra Russo
Kristen M. Scott
Maria-Esther Vidal
Bettina Berendt
K. Kinder-Kurlanda
FaML
52
1
0
23 Jul 2024
Cherry on the Cake: Fairness is NOT an Optimization Problem
Cherry on the Cake: Fairness is NOT an Optimization Problem
Marco Favier
T. Calders
53
1
0
24 Jun 2024
Are Logistic Models Really Interpretable?
Are Logistic Models Really Interpretable?
Danial Dervovic
Freddy Lecue
Nicolas Marchesotti
Daniele Magazzeni
75
0
0
19 Jun 2024
A transparency-based action model implemented in a robotic physical
  trainer for improved HRI
A transparency-based action model implemented in a robotic physical trainer for improved HRI
Aharony Naama
Krakovski Maya
Edan Yael
23
0
0
16 Jun 2024
Studying Up Public Sector AI: How Networks of Power Relations Shape
  Agency Decisions Around AI Design and Use
Studying Up Public Sector AI: How Networks of Power Relations Shape Agency Decisions Around AI Design and Use
Anna Kawakami
Amanda Coston
Hoda Heidari
Kenneth Holstein
Haiyi Zhu
81
11
0
21 May 2024
Challenging the Human-in-the-loop in Algorithmic Decision-making
Challenging the Human-in-the-loop in Algorithmic Decision-making
Sebastian Tschiatschek
Eugenia Stamboliev
Timothée Schmude
Mark Coeckelbergh
Laura M. Koesten
87
1
0
17 May 2024
Trustworthy AI in practice: an analysis of practitioners' needs and
  challenges
Trustworthy AI in practice: an analysis of practitioners' needs and challenges
M. T. Baldassarre
Domenico Gigante
Marcos Kalinowski
Azzurra Ragone
Sara Tibidò
40
4
0
15 May 2024
Reimagining AI in Social Work: Practitioner Perspectives on
  Incorporating Technology in their Practice
Reimagining AI in Social Work: Practitioner Perspectives on Incorporating Technology in their Practice
Katie Wassal
Carolyn Ashurst
Jiri Hron
Miri Zilka
417
2
0
30 Apr 2024
From Prisons to Programming: Fostering Self-Efficacy via Virtual Web
  Design Curricula in Prisons and Jails
From Prisons to Programming: Fostering Self-Efficacy via Virtual Web Design Curricula in Prisons and Jails
M. Nisser
Marisa Gaetz
Andrew Fishberg
Raechel N. Soicher
Faraz Faruqi
Joshua Long
17
5
0
24 Apr 2024
Linguistically Differentiating Acts and Recalls of Racial
  Microaggressions on Social Media
Linguistically Differentiating Acts and Recalls of Racial Microaggressions on Social Media
Uma Sushmitha Gunturi
Anisha Kumar
Xiaohan Ding
Eugenia H Rho
77
4
0
25 Mar 2024
Navigating Fairness: Practitioners' Understanding, Challenges, and
  Strategies in AI/ML Development
Navigating Fairness: Practitioners' Understanding, Challenges, and Strategies in AI/ML Development
Aastha Pant
Rashina Hoda
Chakkrit Tantithamthavorn
Burak Turhan
61
2
0
21 Mar 2024
The Situate AI Guidebook: Co-Designing a Toolkit to Support
  Multi-Stakeholder Early-stage Deliberations Around Public Sector AI Proposals
The Situate AI Guidebook: Co-Designing a Toolkit to Support Multi-Stakeholder Early-stage Deliberations Around Public Sector AI Proposals
Anna Kawakami
Amanda Coston
Haiyi Zhu
Hoda Heidari
Kenneth Holstein
92
29
0
29 Feb 2024
Beyond Predictive Algorithms in Child Welfare
Beyond Predictive Algorithms in Child Welfare
Erin Moon
Devansh Saxena
Tegan Maharaj
Shion Guha
75
2
0
26 Feb 2024
Sketching AI Concepts with Capabilities and Examples: AI Innovation in
  the Intensive Care Unit
Sketching AI Concepts with Capabilities and Examples: AI Innovation in the Intensive Care Unit
Nur Yildirim
Susanna Zlotnikov
Deniz Sayar
Jeremy M. Kahn
L. Bukowski
...
Venkatesh Sivaraman
Adam Perer
Sarah Preum
James McCann
John Zimmerman
73
18
0
21 Feb 2024
AINeedsPlanner: A Workbook to Support Effective Collaboration Between AI
  Experts and Clients
AINeedsPlanner: A Workbook to Support Effective Collaboration Between AI Experts and Clients
Dae Hyun Kim
Hyungyu Shin
Shakhnozakhon Yadgarova
J. Son
Hariharan Subramonyam
Juho Kim
68
5
0
14 Feb 2024
Are We Asking the Right Questions?: Designing for Community
  Stakeholders' Interactions with AI in Policing
Are We Asking the Right Questions?: Designing for Community Stakeholders' Interactions with AI in Policing
Md. Romael Haque
Devansh Saxena
Katherine Weathington
Joseph Chudzik
Shion Guha
76
11
0
08 Feb 2024
A Scoping Study of Evaluation Practices for Responsible AI Tools: Steps
  Towards Effectiveness Evaluations
A Scoping Study of Evaluation Practices for Responsible AI Tools: Steps Towards Effectiveness Evaluations
G. Berman
Nitesh Goyal
Michael A. Madaio
ELM
75
23
0
30 Jan 2024
Information That Matters: Exploring Information Needs of People Affected
  by Algorithmic Decisions
Information That Matters: Exploring Information Needs of People Affected by Algorithmic Decisions
Timothée Schmude
Laura M. Koesten
Torsten Moller
Sebastian Tschiatschek
50
3
0
24 Jan 2024
Democratize with Care: The need for fairness specific features in
  user-interface based open source AutoML tools
Democratize with Care: The need for fairness specific features in user-interface based open source AutoML tools
Sundaraparipurnan Narayanan
86
0
0
16 Dec 2023
Conceptualizing the Relationship between AI Explanations and User Agency
Conceptualizing the Relationship between AI Explanations and User Agency
Iyadunni Adenuga
Jonathan Dodge
62
2
0
05 Dec 2023
Is a Seat at the Table Enough? Engaging Teachers and Students in Dataset
  Specification for ML in Education
Is a Seat at the Table Enough? Engaging Teachers and Students in Dataset Specification for ML in Education
Mei Tan
Hansol Lee
Dakuo Wang
Hariharan Subramonyam
60
8
0
09 Nov 2023
Synergizing Human-AI Agency: A Guide of 23 Heuristics for Service
  Co-Creation with LLM-Based Agents
Synergizing Human-AI Agency: A Guide of 23 Heuristics for Service Co-Creation with LLM-Based Agents
Qingxiao Zheng
Zhongwei Xu
Abhinav Choudhary
Yuting Chen
Yongming Li
Yun Huang
LLMAG
86
7
0
23 Oct 2023
More than Model Documentation: Uncovering Teachers' Bespoke Information
  Needs for Informed Classroom Integration of ChatGPT
More than Model Documentation: Uncovering Teachers' Bespoke Information Needs for Informed Classroom Integration of ChatGPT
Mei Tan
Hariharan Subramonyam
102
19
0
25 Sep 2023
Ethics in the Age of AI: An Analysis of AI Practitioners' Awareness and
  Challenges
Ethics in the Age of AI: An Analysis of AI Practitioners' Awareness and Challenges
Aastha Pant
Rashina Hoda
Simone V. Spiegler
Chakkrit Tantithamthavorn
Burak Turhan
73
29
0
14 Jul 2023
Machine Learning practices and infrastructures
Machine Learning practices and infrastructures
G. Berman
69
4
0
13 Jul 2023
Diffused Redundancy in Pre-trained Representations
Diffused Redundancy in Pre-trained Representations
Vedant Nanda
Till Speicher
John P. Dickerson
Soheil Feizi
Krishna P. Gummadi
Adrian Weller
SSL
66
3
0
31 May 2023
Improving Neural Additive Models with Bayesian Principles
Improving Neural Additive Models with Bayesian Principles
Kouroche Bouchiat
Alexander Immer
Hugo Yèche
Gunnar Rätsch
Vincent Fortuin
BDLMedIm
105
6
0
26 May 2023
Implementing Responsible AI: Tensions and Trade-Offs Between Ethics
  Aspects
Implementing Responsible AI: Tensions and Trade-Offs Between Ethics Aspects
Conrad Sanderson
David M. Douglas
Qinghua Lu
98
13
0
17 Apr 2023
Towards "Anytime, Anywhere" Community Learning and Engagement around the
  Design of Public Sector AI
Towards "Anytime, Anywhere" Community Learning and Engagement around the Design of Public Sector AI
Wesley Hanwen Deng
Motahhare Eslami
Kenneth Holstein
84
1
0
31 Mar 2023
Understanding Frontline Workers' and Unhoused Individuals' Perspectives
  on AI Used in Homeless Services
Understanding Frontline Workers' and Unhoused Individuals' Perspectives on AI Used in Homeless Services
Tzu-Sheng Kuo
Hong Shen
Jisoo Geum
N. Jones
Jason I. Hong
Haiyi Zhu
Kenneth Holstein
93
62
0
17 Mar 2023
Users are the North Star for AI Transparency
Users are the North Star for AI Transparency
Alex Mei
Michael Stephen Saxon
Shiyu Chang
Zachary Chase Lipton
William Yang Wang
63
10
0
09 Mar 2023
Fairness Evaluation in Text Classification: Machine Learning
  Practitioner Perspectives of Individual and Group Fairness
Fairness Evaluation in Text Classification: Machine Learning Practitioner Perspectives of Individual and Group Fairness
Zahra Ashktorab
Benjamin Hoover
Mayank Agarwal
Casey Dugan
Werner Geyer
Han Yang
Mikhail Yurochkin
FaML
79
18
0
01 Mar 2023
Improving Fairness in Adaptive Social Exergames via Shapley Bandits
Improving Fairness in Adaptive Social Exergames via Shapley Bandits
Robert C. Gray
Jennifer Villareale
T. Fox
Diane H Dallal
Santiago Ontañón
D. Arigo
S. Jabbari
Jichen Zhu
55
4
0
18 Feb 2023
Rethinking "Risk" in Algorithmic Systems Through A Computational
  Narrative Analysis of Casenotes in Child-Welfare
Rethinking "Risk" in Algorithmic Systems Through A Computational Narrative Analysis of Casenotes in Child-Welfare
Devansh Saxena
Erin Moon
Aryan Chaurasia
Yixin Guan
Shion Guha
72
26
0
16 Feb 2023
On the Impact of Explanations on Understanding of Algorithmic
  Decision-Making
On the Impact of Explanations on Understanding of Algorithmic Decision-Making
Timothée Schmude
Laura M. Koesten
Torsten Moller
Sebastian Tschiatschek
120
17
0
16 Feb 2023
Contestable Camera Cars: A Speculative Design Exploration of Public AI
  That Is Open and Responsive to Dispute
Contestable Camera Cars: A Speculative Design Exploration of Public AI That Is Open and Responsive to Dispute
Kars Alfrink
I. Keller
N. Doorn
Gerd Kortuem
63
32
0
09 Feb 2023
Investigating How Practitioners Use Human-AI Guidelines: A Case Study on
  the People + AI Guidebook
Investigating How Practitioners Use Human-AI Guidelines: A Case Study on the People + AI Guidebook
Nur Yildirim
Mahima Pushkarna
Nitesh Goyal
Martin Wattenberg
Fernanda Viégas
104
70
0
28 Jan 2023
The State of Human-centered NLP Technology for Fact-checking
The State of Human-centered NLP Technology for Fact-checking
Anubrata Das
Houjiang Liu
Venelin Kovatchev
Matthew Lease
HILM
147
66
0
08 Jan 2023
A.I. Robustness: a Human-Centered Perspective on Technological
  Challenges and Opportunities
A.I. Robustness: a Human-Centered Perspective on Technological Challenges and Opportunities
Andrea Tocchetti
Lorenzo Corti
Agathe Balayn
Mireia Yurrita
Philip Lippmann
Marco Brambilla
Jie Yang
84
14
0
17 Oct 2022
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